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ABOUT YEARS. Inspired by the love for animals and aspiration to adopt a lifestyle that is more synchronized with the rhythm and flow of the nature, Years is a lifestyle brand from Hong Kong that draws its ideas from a wide spectrum of influencesas well as a plant based eatery that aims to provide a casual way for people to enjoy plant based ...
Years should be used when you’re talking about multiple years as it is the plural form of “year”. “Year’s” should be used when you’re talking about a singular time unit as a compound time expression. “Years'” should be used similarly to “year’s” but is reserved for a plural time unit. Of course, initially, that might ...
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Get to me the sooner or later. Holding back the years. Chance for me to escape from all I've known. Holding back the tears. 'Cause nothing here has grown. I've wasted all my tears. Wasted all those years. And nothing had the chance to be good. Nothing ever could yeah, oh.
The Years, by Virginia Woolf, free ebook. 1891. The autumn wind blew over England. It twitched the leaves off the trees, and down they fluttered, spotted red and yellow, or sent them floating, flaunting in wide curves before they settled.
7 de dez. de 2023 · Holding back the years Chance for me escape from all I've known Holding back the tears Cause nothing here has grown I've wasted all my tears Wasted all those years Nothing had the chance to be good Nothing ever could, yeah, ah oh oh oh. I'll keep holding on I'll keep holding on I'll keep holding on I'll keep holding on So tight. All right, oh now!
7 de dez. de 2023 · Holding back the years. Uma chance para escapar de tudo que eu conheço. Chance for me escape from all I've known. Segurando as lágrimas. Holding back the tears. Pois nada aqui cresceu. Cause nothing here has grown. Eu desperdicei todas as minhas lágrimas. I've wasted all my tears.
6 de dez. de 2022 · The fast doubling times have accrued to large increases. PaLM’s training computation was 2.5 billion petaFLOP, more than 5 million times larger than AlexNet, the AI with the largest training computation just 10 years earlier. 10. Scale-up was already exponential and has sped up substantially over the past decade.
